{"product_id":"doing-bayesian-data-analysis-a-tutorial-introduction-with-r","title":"Doing Bayesian Data Analysis: A Tutorial Introduction with R","description":"\u003ch3 data-start=\"64\" data-end=\"80\"\u003eBook Details\u003c\/h3\u003e\n\u003cul data-start=\"82\" data-end=\"294\"\u003e\n\u003cli data-start=\"82\" data-end=\"111\"\u003e\n\u003cp data-start=\"84\" data-end=\"111\"\u003e\u003cstrong data-start=\"84\" data-end=\"95\"\u003eAuthor:\u003c\/strong\u003e John Kruschke\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"112\" data-end=\"141\"\u003e\n\u003cp data-start=\"114\" data-end=\"141\"\u003e\u003cstrong data-start=\"114\" data-end=\"124\"\u003eBrand:\u003c\/strong\u003e Academic Press\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"142\" data-end=\"160\"\u003e\n\u003cp data-start=\"144\" data-end=\"160\"\u003e\u003cstrong data-start=\"144\" data-end=\"156\"\u003eEdition:\u003c\/strong\u003e 1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"161\" data-end=\"187\"\u003e\n\u003cp data-start=\"163\" data-end=\"187\"\u003e\u003cstrong data-start=\"163\" data-end=\"175\"\u003eBinding:\u003c\/strong\u003e Hardcover\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"188\" data-end=\"215\"\u003e\n\u003cp data-start=\"190\" data-end=\"215\"\u003e\u003cstrong data-start=\"190\" data-end=\"199\"\u003eISBN:\u003c\/strong\u003e 9780123814852\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"216\" data-end=\"234\"\u003e\n\u003cp data-start=\"218\" data-end=\"234\"\u003e\u003cstrong data-start=\"218\" data-end=\"228\"\u003ePages:\u003c\/strong\u003e 672\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"235\" data-end=\"267\"\u003e\n\u003cp data-start=\"237\" data-end=\"267\"\u003e\u003cstrong data-start=\"237\" data-end=\"254\"\u003eRelease Date:\u003c\/strong\u003e 25-11-2010\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"268\" data-end=\"294\"\u003e\n\u003cp data-start=\"270\" data-end=\"294\"\u003e\u003cstrong data-start=\"270\" data-end=\"284\"\u003eLanguages:\u003c\/strong\u003e English\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"296\" data-end=\"299\"\u003e\n\u003ch3 data-start=\"301\" data-end=\"319\"\u003eAbout The Book\u003c\/h3\u003e\n\u003cp data-start=\"321\" data-end=\"703\"\u003e\"\u003cstrong data-start=\"322\" data-end=\"395\"\u003eDoing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS\u003c\/strong\u003e\" by John Kruschke is an essential guide for first-year graduate students or advanced undergraduates interested in learning Bayesian statistics. This comprehensive textbook offers a clear and intuitive approach to the complex world of Bayesian data analysis, assuming only basic algebra and \"rusty\" calculus.\u003c\/p\u003e\n\u003cp data-start=\"705\" data-end=\"1223\"\u003eUnlike other textbooks, this book begins with foundational concepts, such as probability and random sampling, and builds up to more advanced hierarchical modeling methods. The text includes practical, hands-on examples using R and BUGS (both free software tools), ensuring that students can apply their learning to real-world data. Additionally, the book provides templates that can be adapted to various research needs, making it an ideal resource for anyone looking to integrate Bayesian methods into their analysis.\u003c\/p\u003e\n\u003cp data-start=\"1225\" data-end=\"1252\"\u003eKey topics covered include:\u003c\/p\u003e\n\u003cul data-start=\"1253\" data-end=\"1618\"\u003e\n\u003cli data-start=\"1253\" data-end=\"1298\"\u003e\n\u003cp data-start=\"1255\" data-end=\"1298\"\u003e\u003cstrong data-start=\"1255\" data-end=\"1296\"\u003eBasic Probability and Random Sampling\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1299\" data-end=\"1345\"\u003e\n\u003cp data-start=\"1301\" data-end=\"1345\"\u003e\u003cstrong data-start=\"1301\" data-end=\"1343\"\u003eAdvanced Hierarchical Modeling Methods\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1346\" data-end=\"1452\"\u003e\n\u003cp data-start=\"1348\" data-end=\"1452\"\u003e\u003cstrong data-start=\"1348\" data-end=\"1397\"\u003eBayesian Alternatives to Non-Bayesian Methods\u003c\/strong\u003e (such as t-tests, ANOVA, regression, and chi-square)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1453\" data-end=\"1480\"\u003e\n\u003cp data-start=\"1455\" data-end=\"1480\"\u003e\u003cstrong data-start=\"1455\" data-end=\"1478\"\u003eExperiment Planning\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1481\" data-end=\"1537\"\u003e\n\u003cp data-start=\"1483\" data-end=\"1537\"\u003e\u003cstrong data-start=\"1483\" data-end=\"1502\"\u003eR and BUGS Code\u003c\/strong\u003e (available online for reference)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1538\" data-end=\"1618\"\u003e\n\u003cp data-start=\"1540\" data-end=\"1618\"\u003e\u003cstrong data-start=\"1540\" data-end=\"1567\"\u003eComprehensive Exercises\u003c\/strong\u003e with explicit guidelines for successful completion\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1620\" data-end=\"1956\"\u003eThis book is an invaluable resource for students transitioning from undergraduate training to modern Bayesian methods, making it the perfect bridge to mastering advanced data analysis techniques. Whether you are learning for academic purposes or research, Kruschke’s accessible style ensures a deep understanding of Bayesian statistics.\u003c\/p\u003e","brand":"Academic Press","offers":[{"title":"Default Title","offer_id":49928792768816,"sku":"Sarat_9780123814852","price":6410.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0690\/9968\/4144\/files\/academic-press-book-default-title-doing-bayesian-data-analysis-a-tutorial-introduction-with-r-41256768078128.jpg?v=1775947060","url":"https:\/\/www.retailmaharaj.com\/products\/doing-bayesian-data-analysis-a-tutorial-introduction-with-r","provider":"Retail Maharaj","version":"1.0","type":"link"}